MacBook Pro (13-inch, 2022)
Geekbench ML Score
2827
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 13 2026 06:54 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
973
182.1 IPS |
|
|
Image Classification (F16)
|
100% |
1478
276.6 IPS |
|
|
Image Classification (I8)
|
99% |
1691
316.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
923
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
786
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5637
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
13946
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13941
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1000
74.7 IPS |
|
|
Object Detection (F16)
|
100% |
1711
127.7 IPS |
|
|
Object Detection (I8)
|
97% |
1205
90.0 IPS |
|
|
Face Detection (F32)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (F16)
|
97% |
4053
48.2 IPS |
|
|
Face Detection (I8)
|
96% |
4299
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5003
38.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10169
78.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9717
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14235
18.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25588
33.7 IPS |
|
|
Style Transfer (I8)
|
100% |
25618
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2399
85.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2164
77.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2319
82.8 IPS |
|
|
Text Classification (F32)
|
100% |
1979
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
2940
4.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2897
4.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
581
10.7 IPS |
|
|
Machine Translation (I8)
|
99% |
996
18.3 IPS |
